adynato-mobile-api
API integration patterns for Adynato mobile apps. Covers data fetching with TanStack Query, authentication flows, offline support, error handling, and optimistic updates in React Native/Expo apps. Use when integrating APIs into mobile applications.
Best use case
adynato-mobile-api is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
API integration patterns for Adynato mobile apps. Covers data fetching with TanStack Query, authentication flows, offline support, error handling, and optimistic updates in React Native/Expo apps. Use when integrating APIs into mobile applications.
Teams using adynato-mobile-api should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/adynato-mobile-api/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How adynato-mobile-api Compares
| Feature / Agent | adynato-mobile-api | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
API integration patterns for Adynato mobile apps. Covers data fetching with TanStack Query, authentication flows, offline support, error handling, and optimistic updates in React Native/Expo apps. Use when integrating APIs into mobile applications.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# Mobile API Skill
Use this skill when integrating APIs into Adynato mobile apps.
## Stack
- **Data Fetching**: TanStack Query (React Query)
- **HTTP Client**: Fetch API or Axios
- **Auth Storage**: expo-secure-store
- **Offline**: TanStack Query persistence
## Setup
### Query Client Configuration
```typescript
// lib/query-client.ts
import { QueryClient } from '@tanstack/react-query'
export const queryClient = new QueryClient({
defaultOptions: {
queries: {
staleTime: 1000 * 60 * 5, // 5 minutes
gcTime: 1000 * 60 * 30, // 30 minutes (formerly cacheTime)
retry: 2,
refetchOnWindowFocus: false, // Mobile doesn't have window focus
},
mutations: {
retry: 1,
},
},
})
```
### Provider Setup
```tsx
// app/_layout.tsx
import { QueryClientProvider } from '@tanstack/react-query'
import { queryClient } from '@/lib/query-client'
export default function RootLayout() {
return (
<QueryClientProvider client={queryClient}>
<Stack />
</QueryClientProvider>
)
}
```
## API Client
### Base Configuration
```typescript
// lib/api.ts
import * as SecureStore from 'expo-secure-store'
const API_URL = process.env.EXPO_PUBLIC_API_URL
interface RequestOptions extends RequestInit {
requireAuth?: boolean
}
export async function api<T>(
endpoint: string,
options: RequestOptions = {}
): Promise<T> {
const { requireAuth = true, ...fetchOptions } = options
const headers: HeadersInit = {
'Content-Type': 'application/json',
...fetchOptions.headers,
}
if (requireAuth) {
const token = await SecureStore.getItemAsync('auth_token')
if (token) {
headers['Authorization'] = `Bearer ${token}`
}
}
const response = await fetch(`${API_URL}${endpoint}`, {
...fetchOptions,
headers,
})
if (!response.ok) {
const error = await response.json().catch(() => ({}))
throw new ApiError(response.status, error.error || 'Request failed')
}
// Handle 204 No Content
if (response.status === 204) {
return undefined as T
}
return response.json()
}
export class ApiError extends Error {
constructor(public status: number, message: string) {
super(message)
this.name = 'ApiError'
}
}
```
### API Functions
```typescript
// lib/api/users.ts
import { api } from '@/lib/api'
export interface User {
id: string
email: string
name: string
}
export const usersApi = {
getMe: () => api<{ data: User }>('/api/users/me'),
getById: (id: string) => api<{ data: User }>(`/api/users/${id}`),
update: (id: string, data: Partial<User>) =>
api<{ data: User }>(`/api/users/${id}`, {
method: 'PATCH',
body: JSON.stringify(data),
}),
}
```
## Query Hooks
### Basic Query
```typescript
// hooks/useUser.ts
import { useQuery } from '@tanstack/react-query'
import { usersApi } from '@/lib/api/users'
export function useUser(id: string) {
return useQuery({
queryKey: ['users', id],
queryFn: () => usersApi.getById(id),
enabled: !!id,
})
}
```
### Query with Transform
```typescript
export function useCurrentUser() {
return useQuery({
queryKey: ['users', 'me'],
queryFn: usersApi.getMe,
select: (response) => response.data, // Extract data from wrapper
})
}
```
### Paginated Query
```typescript
import { useInfiniteQuery } from '@tanstack/react-query'
export function useUsersList() {
return useInfiniteQuery({
queryKey: ['users', 'list'],
queryFn: ({ pageParam = 1 }) =>
api(`/api/users?page=${pageParam}&limit=20`),
getNextPageParam: (lastPage, pages) => {
if (lastPage.data.length < 20) return undefined
return pages.length + 1
},
initialPageParam: 1,
})
}
```
## Mutations
### Basic Mutation
```typescript
// hooks/useUpdateProfile.ts
import { useMutation, useQueryClient } from '@tanstack/react-query'
import { usersApi } from '@/lib/api/users'
export function useUpdateProfile() {
const queryClient = useQueryClient()
return useMutation({
mutationFn: ({ id, data }: { id: string; data: Partial<User> }) =>
usersApi.update(id, data),
onSuccess: (response, { id }) => {
// Update cache
queryClient.setQueryData(['users', id], response)
queryClient.invalidateQueries({ queryKey: ['users', 'me'] })
},
})
}
```
### Optimistic Update
```typescript
export function useToggleFavorite() {
const queryClient = useQueryClient()
return useMutation({
mutationFn: (itemId: string) => api(`/api/favorites/${itemId}`, {
method: 'POST'
}),
onMutate: async (itemId) => {
// Cancel outgoing refetches
await queryClient.cancelQueries({ queryKey: ['items', itemId] })
// Snapshot previous value
const previousItem = queryClient.getQueryData(['items', itemId])
// Optimistically update
queryClient.setQueryData(['items', itemId], (old: any) => ({
...old,
isFavorite: !old.isFavorite,
}))
return { previousItem }
},
onError: (err, itemId, context) => {
// Rollback on error
queryClient.setQueryData(['items', itemId], context?.previousItem)
},
onSettled: (data, error, itemId) => {
// Refetch to ensure sync
queryClient.invalidateQueries({ queryKey: ['items', itemId] })
},
})
}
```
## Authentication Flow
### Login
```typescript
// hooks/useAuth.ts
import { useMutation, useQueryClient } from '@tanstack/react-query'
import * as SecureStore from 'expo-secure-store'
import { router } from 'expo-router'
import { api } from '@/lib/api'
interface LoginInput {
email: string
password: string
}
export function useLogin() {
const queryClient = useQueryClient()
return useMutation({
mutationFn: (input: LoginInput) =>
api<{ token: string; user: User }>('/api/auth/login', {
method: 'POST',
body: JSON.stringify(input),
requireAuth: false,
}),
onSuccess: async (response) => {
await SecureStore.setItemAsync('auth_token', response.token)
queryClient.setQueryData(['users', 'me'], { data: response.user })
router.replace('/(tabs)')
},
})
}
export function useLogout() {
const queryClient = useQueryClient()
return useMutation({
mutationFn: async () => {
await SecureStore.deleteItemAsync('auth_token')
},
onSuccess: () => {
queryClient.clear()
router.replace('/(auth)/login')
},
})
}
```
### Auth State Check
```typescript
// hooks/useAuthState.ts
import { useQuery } from '@tanstack/react-query'
import * as SecureStore from 'expo-secure-store'
export function useAuthState() {
return useQuery({
queryKey: ['auth', 'state'],
queryFn: async () => {
const token = await SecureStore.getItemAsync('auth_token')
return { isAuthenticated: !!token }
},
staleTime: Infinity,
})
}
```
## Error Handling
### Global Error Handler
```typescript
// In query client setup
const queryClient = new QueryClient({
defaultOptions: {
mutations: {
onError: (error) => {
if (error instanceof ApiError) {
if (error.status === 401) {
// Handle unauthorized - redirect to login
SecureStore.deleteItemAsync('auth_token')
router.replace('/(auth)/login')
return
}
}
// Show toast or alert
Alert.alert('Error', error.message)
},
},
},
})
```
### Per-Query Error Handling
```tsx
function ProfileScreen() {
const { data, error, isLoading, refetch } = useCurrentUser()
if (isLoading) return <LoadingSpinner />
if (error) {
return (
<ErrorView
message={error.message}
onRetry={refetch}
/>
)
}
return <ProfileContent user={data} />
}
```
## Offline Support
### Query Persistence
```typescript
// lib/query-client.ts
import { createAsyncStoragePersister } from '@tanstack/query-async-storage-persister'
import AsyncStorage from '@react-native-async-storage/async-storage'
import { persistQueryClient } from '@tanstack/react-query-persist-client'
const asyncStoragePersister = createAsyncStoragePersister({
storage: AsyncStorage,
})
persistQueryClient({
queryClient,
persister: asyncStoragePersister,
})
```
### Network Status
```typescript
// hooks/useNetworkStatus.ts
import { useEffect, useState } from 'react'
import NetInfo from '@react-native-community/netinfo'
import { onlineManager } from '@tanstack/react-query'
export function useNetworkStatus() {
const [isOnline, setIsOnline] = useState(true)
useEffect(() => {
return NetInfo.addEventListener((state) => {
const online = !!state.isConnected
setIsOnline(online)
onlineManager.setOnline(online)
})
}, [])
return isOnline
}
```
## Usage in Components
```tsx
// screens/ProfileScreen.tsx
import { useCurrentUser, useUpdateProfile } from '@/hooks/useUser'
export function ProfileScreen() {
const { data: user, isLoading } = useCurrentUser()
const updateProfile = useUpdateProfile()
const handleSave = (formData: Partial<User>) => {
updateProfile.mutate(
{ id: user.id, data: formData },
{
onSuccess: () => {
Alert.alert('Success', 'Profile updated!')
},
}
)
}
if (isLoading) return <LoadingSpinner />
return (
<ProfileForm
user={user}
onSave={handleSave}
isSaving={updateProfile.isPending}
/>
)
}
```
## Checklist
Before shipping:
- [ ] Auth token stored in SecureStore (not AsyncStorage)
- [ ] 401 responses trigger logout/re-auth
- [ ] Loading states shown during fetches
- [ ] Error states with retry options
- [ ] Optimistic updates where appropriate
- [ ] Offline support if required
- [ ] Request timeouts configured
- [ ] No sensitive data loggedRelated Skills
adynato-aimake
Integrate with aimake's AI-powered delivery pipeline via MCP. Covers connecting to aimake, using code/docs/kanban tools, understanding the card-based system, and leveraging AI capabilities. Use when building integrations with aimake or using its MCP tools.
adynato-github
GitHub workflow conventions for Adynato projects. Covers creating PRs with gh CLI, writing thorough descriptions, and using stacked PRs for large deliverables. Use when creating pull requests, managing branches, or breaking down large features.
adynato-seo
Handles SEO requirements for all web content including blogs, landing pages, and documentation. Covers LD+JSON schema.org structured data, internal backlinks strategy, further reading sections, meta tags, and Open Graph. Use when creating or editing any public-facing web content, blog posts, or pages that need search visibility.
Mobile Ci Cd
Mobile CI/CD automates building, testing, and deploying mobile applications. This guide covers GitHub Actions, Fastlane automation, code signing, and App Store submission automation for streamlining m
adynato-web-api
Web API development conventions for Adynato projects. Covers API routes, middleware, authentication, error handling, validation, and response formats for Next.js and Node.js backends. Use when building or modifying API endpoints, server actions, or backend logic.
bgo
Automates the complete Blender build-go workflow, from building and packaging your extension/add-on to removing old versions, installing, enabling, and launching Blender for quick testing and iteration.
obsidian-daily
Manage Obsidian Daily Notes via obsidian-cli. Create and open daily notes, append entries (journals, logs, tasks, links), read past notes by date, and search vault content. Handles relative dates like "yesterday", "last Friday", "3 days ago".
obsidian-additions
Create supplementary materials attached to existing notes: experiments, meetings, reports, logs, conspectuses, practice sessions, annotations, AI outputs, links collections. Two-step process: (1) create aggregator space, (2) create concrete addition in base/additions/. INVOKE when user wants to attach any supplementary material to an existing note. Triggers: "addition", "create addition", "experiment", "meeting notes", "report", "conspectus", "log", "practice", "annotations", "links", "link collection", "аддишн", "конспект", "встреча", "отчёт", "эксперимент", "практика", "аннотации", "ссылки", "добавь к заметке".
observe
Query and manage Observe using the Observe CLI. Use when the user wants to run OPAL queries, list datasets, manage objects, or interact with their Observe tenant from the command line.
observability-review
AI agent that analyzes operational signals (metrics, logs, traces, alerts, SLO/SLI reports) from observability platforms (Prometheus, Datadog, New Relic, CloudWatch, Grafana, Elastic) and produces practical, risk-aware triage and recommendations. Use when reviewing system health, investigating performance issues, analyzing monitoring data, evaluating service reliability, or providing SRE analysis of operational metrics. Distinguishes between critical issues requiring action, items needing investigation, and informational observations requiring no action.
nvidia-nim
NVIDIA NIM inference microservices for deploying AI models with OpenAI-compatible APIs, self-hosted or cloud
numpy-string-ops
Vectorized string manipulation using the char module and modern string alternatives, including cleaning and search operations. Triggers: string operations, numpy.char, text cleaning, substring search.